A quantitative spatial proteomics analysis of proteome turnover in human cells

Francois-Michel Boisvert, Yasmeen Ahmad, Marek Gierlinski, Fabienne Charrière, Douglas Lamont, Michelle Scott, Geoff Barton, Angus I. Lamond (Lead / Corresponding author)

Research output: Contribution to journalArticle

193 Citations (Scopus)

Abstract

Measuring the properties of endogenous cell proteins, such as expression level, subcellular localization, and turnover rates, on a whole proteome level remains a major challenge in the postgenome era. Quantitative methods for measuring mRNA expression do not reliably predict corresponding protein levels and provide little or no information on other protein properties. Here we describe a combined pulse-labeling, spatial proteomics and data analysis strategy to characterize the expression, localization, synthesis, degradation, and turnover rates of endogenously expressed, untagged human proteins in different subcellular compartments. Using quantitative mass spectrometry and stable isotope labeling with amino acids in cell culture, a total of 80,098 peptides from 8,041 HeLa proteins were quantified, and their spatial distribution between the cytoplasm, nucleus and nucleolus determined and visualized using specialized software tools developed in PepTracker. Using information from ion intensities and rates of change in isotope ratios, protein abundance levels and protein synthesis, degradation and turnover rates were calculated for the whole cell and for the respective cytoplasmic, nuclear, and nucleolar compartments. Expression levels of endogenous HeLa proteins varied by up to seven orders of magnitude. The average turnover rate for HeLa proteins was ~20 h. Turnover rate did not correlate with either molecular weight or net charge, but did correlate with abundance, with highly abundant proteins showing longer than average half-lives. Fast turnover proteins had overall a higher frequency of PEST motifs than slow turnover proteins but no general correlation was observed between amino or carboxyl terminal amino acid identities and turnover rates. A subset of proteins was identified that exist in pools with different turnover rates depending on their subcellular localization. This strongly correlated with subunits of large, multiprotein complexes, suggesting a general mechanism whereby their assembly is controlled in a different subcellular location to their main site of function.
Original languageEnglish
Article numberM111.011429
JournalMolecular & Cellular Proteomics
Volume11
Issue number3
DOIs
Publication statusPublished - 1 Mar 2012

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Spatial Analysis
Proteome
Proteomics
Cells
Proteins
Isotopes
Labeling
Isotope Labeling
Amino Acids
Multiprotein Complexes
Degradation
Proteolysis
Cell culture
Spatial distribution
Mass Spectrometry
Mass spectrometry
Cytoplasm
Software
Cell Culture Techniques
Molecular Weight

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Boisvert, Francois-Michel ; Ahmad, Yasmeen ; Gierlinski, Marek ; Charrière, Fabienne ; Lamont, Douglas ; Scott, Michelle ; Barton, Geoff ; Lamond, Angus I. / A quantitative spatial proteomics analysis of proteome turnover in human cells. In: Molecular & Cellular Proteomics. 2012 ; Vol. 11, No. 3.
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A quantitative spatial proteomics analysis of proteome turnover in human cells. / Boisvert, Francois-Michel; Ahmad, Yasmeen; Gierlinski, Marek; Charrière, Fabienne; Lamont, Douglas; Scott, Michelle; Barton, Geoff; Lamond, Angus I. (Lead / Corresponding author).

In: Molecular & Cellular Proteomics, Vol. 11, No. 3, M111.011429, 01.03.2012.

Research output: Contribution to journalArticle

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